Cyberbullying detection for low-resource languages and dialects: Review of the state of the art
The struggle of social media platforms to moderate content in a timely manner, encourages
users to abuse such platforms to spread vulgar or abusive language, which, when …
users to abuse such platforms to spread vulgar or abusive language, which, when …
[HTML][HTML] A robust hybrid machine learning model for Bengali cyber bullying detection in social media
Social networking platforms give users countless opportunities to share information,
collaborate, and communicate positively. The same platform can be extended to a fabricated …
collaborate, and communicate positively. The same platform can be extended to a fabricated …
Hate speech detection in the bengali language: A dataset and its baseline evaluation
N Romim, M Ahmed, H Talukder… - … of International Joint …, 2021 - Springer
Social media sites such as YouTube and Facebook have become an integral part of
everyone's life, and in the last few years, hate speech in the social media comment section …
everyone's life, and in the last few years, hate speech in the social media comment section …
Bangla hate speech detection on social media using attention-based recurrent neural network
Hate speech has spread more rapidly through the daily use of technology and, most notably,
by sharing your opinions or feelings on social media in a negative aspect. Although …
by sharing your opinions or feelings on social media in a negative aspect. Although …
Tackling cyber-aggression: Identification and fine-grained categorization of aggressive texts on social media using weighted ensemble of transformers
The pervasiveness of aggressive content in social media has become a serious concern for
government organizations and tech companies because of its pernicious societal effects. In …
government organizations and tech companies because of its pernicious societal effects. In …
Abusive Bangla comments detection on Facebook using transformer-based deep learning models
In the era of social networking platforms, user-generated content is flooding every second on
online social media platforms like Facebook. So observing and identifying many contents …
online social media platforms like Facebook. So observing and identifying many contents …
A review of deep learning models for detecting cyberbullying on social media networks
J Batani, E Mbunge, B Muchemwa, G Gaobotse… - Computer Science On …, 2022 - Springer
The advent of social media platforms presented unprecedented opportunities in sharing
information, real-time communication and virtual collaborations. However, social media …
information, real-time communication and virtual collaborations. However, social media …
Automatic vulgar word extraction method with application to vulgar remark detection in chittagonian dialect of bangla
T Mahmud, M Ptaszynski, F Masui - Applied Sciences, 2023 - mdpi.com
The proliferation of the internet, especially on social media platforms, has amplified the
prevalence of cyberbullying and harassment. Addressing this issue involves harnessing …
prevalence of cyberbullying and harassment. Addressing this issue involves harnessing …
Deployment of machine learning and deep learning algorithms in detecting cyberbullying in bangla and romanized bangla text: A comparative study
Popularity of social media has increased rapidly and now it is very easy to interact with
different persons across social media. As a result, cyberbullying towards people across …
different persons across social media. As a result, cyberbullying towards people across …
Reason based machine learning approach to detect bangla abusive social media comments
For the study issue of abusive language detection, English is the most commonly employed
language. There are just a few works accessible in low-resource languages such as Bangla …
language. There are just a few works accessible in low-resource languages such as Bangla …